Marylène Péroval

420 total citations
7 papers, 335 citations indexed

About

Marylène Péroval is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Marylène Péroval has authored 7 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Agronomy and Crop Science. Recurrent topics in Marylène Péroval's work include Influenza Virus Research Studies (3 papers), Animal Disease Management and Epidemiology (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Marylène Péroval is often cited by papers focused on Influenza Virus Research Studies (3 papers), Animal Disease Management and Epidemiology (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). Marylène Péroval collaborates with scholars based in United Kingdom, France and Italy. Marylène Péroval's co-authors include Amy Boyd, Adrian L. Smith, John R. Young, P. Péry, Marie Labbé, Christiane Bourdieu, Fabienne Girard‐Misguich, John A. Hammond, Karen Staines and Colin Butter and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Marylène Péroval

7 papers receiving 329 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marylène Péroval United Kingdom	7	115	97	93	76	70	7	335
Christiane Bourdieu France	10	149 1.3×	146 1.5×	187 2.0×	117 1.5×	85 1.2×	15	424
Anton Gossner United Kingdom	12	82 0.7×	39 0.4×	84 0.9×	128 1.7×	96 1.4×	30	379
Thierry Grima de Cristo Brazil	9	58 0.5×	95 1.0×	65 0.7×	39 0.5×	23 0.3×	40	303
Baolong Yan China	13	58 0.5×	206 2.1×	62 0.7×	104 1.4×	77 1.1×	26	493
Tuanjun Hu United Kingdom	13	170 1.5×	105 1.1×	44 0.5×	107 1.4×	11 0.2×	19	362
Denis Soubieux France	13	161 1.4×	63 0.6×	309 3.3×	113 1.5×	28 0.4×	22	494
A. DAVID G. STROM Australia	6	56 0.5×	215 2.2×	46 0.5×	28 0.4×	26 0.4×	6	311
Zhenhong Guan China	15	233 2.0×	33 0.3×	159 1.7×	244 3.2×	64 0.9×	25	565
Siri Kulberg Norway	7	220 1.9×	21 0.2×	96 1.0×	24 0.3×	54 0.8×	7	384
Lei Tan China	12	35 0.3×	85 0.9×	165 1.8×	253 3.3×	55 0.8×	38	588

Countries citing papers authored by Marylène Péroval

Since Specialization

Citations

This map shows the geographic impact of Marylène Péroval's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marylène Péroval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marylène Péroval more than expected).

Fields of papers citing papers by Marylène Péroval

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marylène Péroval. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marylène Péroval. The network helps show where Marylène Péroval may publish in the future.

Co-authorship network of co-authors of Marylène Péroval

This figure shows the co-authorship network connecting the top 25 collaborators of Marylène Péroval. A scholar is included among the top collaborators of Marylène Péroval based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marylène Péroval. Marylène Péroval is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Mwangi, William, Marylène Péroval, Jean-Rémy Sadeyen, et al.. (2016). Host genetics determine susceptibility to avian influenza infection and transmission dynamics. Scientific Reports. 6(1). 26787–26787. 24 indexed citations

Péroval, Marylène, et al.. (2014). An infected chicken kidney cell co-culture ELISpot for enhanced detection of T cell responses to avian influenza and vaccination. Journal of Immunological Methods. 416. 40–48. 8 indexed citations

Péroval, Marylène, Amy Boyd, John R. Young, & Adrian L. Smith. (2013). A Critical Role for MAPK Signalling Pathways in the Transcriptional Regulation of Toll Like Receptors. PLoS ONE. 8(2). e51243–e51243. 96 indexed citations

Boyd, Amy, Marylène Péroval, Connor Carson, et al.. (2012). Towards a universal vaccine for avian influenza: Protective efficacy of modified Vaccinia virus Ankara and Adenovirus vaccines expressing conserved influenza antigens in chickens challenged with low pathogenic avian influenza virus. Vaccine. 31(4). 670–675. 42 indexed citations

Boyd, Amy, et al.. (2012). TLR15 Is Unique to Avian and Reptilian Lineages and Recognizes a Yeast-Derived Agonist. The Journal of Immunology. 189(10). 4930–4938. 54 indexed citations

Labbé, Marie, Marylène Péroval, Christiane Bourdieu, Fabienne Girard‐Misguich, & P. Péry. (2006). Eimeria tenella enolase and pyruvate kinase: A likely role in glycolysis and in others functions. International Journal for Parasitology. 36(14). 1443–1452. 52 indexed citations

Péroval, Marylène, P. Péry, & Marie Labbé. (2006). The heat shock protein 90 of Eimeria tenella is essential for invasion of host cell and schizont growth. International Journal for Parasitology. 36(10-11). 1205–1215. 59 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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